Geospatial Technology in Disease Mapping, E- Surveillance and Health Care for Rural Population in South India

Abstract

ABSTRACT:Providing Healthcare to rural population has been a challenge to the medical service providers especially in developing countries. For this to be effective, scalable and sustainable, certain strategic decisions have to be taken during the planning phase. Also, there is a big gap between the services available and the availability of doctors and medical resources in rural areas. Use of Information Technology can aid this deficiency to a good extent. In this paper, a mobile application has been developed to gather data from the field. A cloud based interface has been developed to store the data in the cloud for effective usage and management of the data. A decision tree based solution developed in this paper helps in diagnosing a patient based on his health parameters. Interactive geospatial maps have been developed to provide effective data visualization facility. This will help both the user community as well as decision makers to carry out long term strategy planning.

A Systematic Review on Healthcare Analytics: Application and Theoretical Perspective of Data Mining

“…The first layer unified heterogeneous data from different sources, the second layer provided storage support and facilitated data processing and analytics access, and the third layer provided result of analysis and platform for professionals to develop analytical tools. Some researchers [ 94 ] used mobile devices to collect personal health data. Users took part in a survey on their mobile devices and got a diagnosis report based on their health parameters input in the survey.…”

Android Based Naive Bayes Probabilistic Detection Model for Breast Cancer and Mobile Cloud Computing: Design and Implementation

“…The system improved communication between health personnel and the patients enabling real time data transfer from the patient to the health care personnel and vice versa. The authors in [9] developed an android application to collect medical data in rural India, the data is stored in the cloud where a decision tree based system is used for disease diagnosis based on the patients' health parameters, the system also incorporates Geographic Information System (GIS) based interactive maps for visualization. This helps the decision makers and the user community to carry out long term strategy planning.…”